Jian K. Liu

According to our database, Jian K. Liu authored at least 57 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation.

Gen Shi, Yifan Zhu, Jian K. Liu, Xuesong Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Efficient Structure Slimming for Spiking Neural Networks.

Yaxin Li, Xuanye Fang, Yuyuan Gao, Dongdong Zhou, Jiangrong Shen, Jian K. Liu, Gang Pan, Qi Xu

IEEE Trans. Artif. Intell., August, 2024

Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding.

Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan

IEEE Trans. Neural Networks Learn. Syst., July, 2024

High-performance deep spiking neural networks via at-most-two-spike exponential coding.

Yunhua Chen, Ren Feng, Zhimin Xiong, Jinsheng Xiao, Jian K. Liu

Neural Networks, 2024

Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering.

Yu Tang, Shangqi Guo, Jinhui Liu, Bo Wan, Lingling An, Jian K. Liu

Knowl. Based Syst., 2024

Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models.

Rining Wu, Feixiang Zhou, Ziwei Yin, Jian K. Liu

CoRR, 2024

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs.

Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu

CoRR, 2024

Deep Learning for Visual Neuroprosthesis.

Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu

CoRR, 2024

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms.

Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Visual Coding Through Collaborative Perception.

Lingling An, Zhen Yan, Weizheng Wang, Jian K. Liu, Keping Yu

IEEE Trans. Cogn. Dev. Syst., December, 2023

HybridGCN for protein solubility prediction with adaptive weighting of multiple features.

Long Chen, Rining Wu, Feixiang Zhou, Huifeng Zhang, Jian K. Liu

J. Cheminformatics, December, 2023

HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks.

Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Flexible Learning Models Utilizing Different Neural Plasticities.

Lingling An, Ye Yuan, Yunhao Liu, Fan Zhao, Quan Wang, Jian K. Liu

IEEE Trans. Cogn. Dev. Syst., September, 2023

Attention guided learnable time-domain filterbanks for speech depression detection.

Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang

Neural Networks, August, 2023

RBNet: An Ultrafast Rendering-Based Architecture for Railway Defect Segmentation.

Mingxu Li, Bo Peng, Jian K. Liu, Donghai Zhai

IEEE Trans. Instrum. Meas., 2023

Neural Encoding and Decoding With a Flow-Based Invertible Generative Model.

Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He

IEEE Trans. Cogn. Dev. Syst., 2023

Diverse role of NMDA receptors for dendritic integration of neural dynamics.

Yuanhong Tang, Xingyu Zhang, Lingling An, Zhaofei Yu, Jian K. Liu

PLoS Comput. Biol., 2023

Spike timing reshapes robustness against attacks in spiking neural networks.

Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

CoRR, 2023

Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.

Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

CoRR, 2023

Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.

Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks.

Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Transcoding Sensory Information With Neural Spikes.

Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.

Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu

IEEE Trans. Cybern., 2022

Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization.

Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu

IEEE Trans. Cybern., 2022

Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.

Jian K. Liu, Dimokratis Karamanlis, Tim Gollisch

PLoS Comput. Biol., 2022

Representing the dynamics of high-dimensional data with non-redundant wavelets.

Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu

Patterns, 2022

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.

Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang

Neural Comput., 2022

Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.

Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang

Int. J. Autom. Comput., 2022

Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms.

Chuanliang Han, Tian Wang, Yujie Wu, Hui Li, Encong Wang, Xixi Zhao, Qingjiu Cao, Qiujin Qian, Yufeng Wang, Fei Dou, Jian K. Liu, Li Sun, Dajun Xing

Frontiers Comput. Neurosci., 2022

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.

Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks.

Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.

Yuanhong Tang, Lingling An, Ye Yuan, Qingqi Pei, Quan Wang, Jian K. Liu

PLoS Comput. Biol., 2021

Regulating synchronous oscillations of cerebellar granule cells by different types of inhibition.

Yuanhong Tang, Lingling An, Quan Wang, Jian K. Liu

PLoS Comput. Biol., 2021

Dissecting cascade computational components in spiking neural networks.

Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu

PLoS Comput. Biol., 2021

Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks.

Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang

Patterns, 2021

Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network.

Jiangrong Shen, Jian K. Liu, Yueming Wang

Neural Comput., 2021

2020

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen

IEEE Trans. Cybern., 2020

Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks.

Zhaofei Yu, Feng Chen, Jian K. Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.

Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian

Neural Networks, 2020

Reconstruction of natural visual scenes from neural spikes with deep neural networks.

Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu

Neural Networks, 2020

Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics.

Lingling An, Yuanhong Tang, Doudou Wang, Shanshan Jia, Qingqi Pei, Quan Wang, Zhaofei Yu, Jian K. Liu

Frontiers Comput. Neurosci., 2020

Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model.

Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks.

Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A unified neural circuit of causal inference and multisensory integration.

Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen

Neurocomputing, 2019

Computational modelling of salamander retinal ganglion cells using machine learning approaches.

Gautham P. Das, Philip J. Vance, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Jian K. Liu

Neurocomputing, 2019

Coding Capacity of Purkinje Cells With Different Schemes of Morphological Reduction.

Lingling An, Yuanhong Tang, Quan Wang, Qingqi Pei, Ran Wei, Huiyuan Duan, Jian K. Liu

Frontiers Comput. Neurosci., 2019

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks.

Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu

CoRR, 2019

Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor.

Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang

IEEE Access, 2019

2018

Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques.

Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch, Jian K. Liu

IEEE Trans. Neural Networks Learn. Syst., 2018

Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization.

Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu

CoRR, 2018

Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits.

Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu

CoRR, 2018

A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina.

Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang

CoRR, 2018

Implementation of Bayesian Inference In Distributed Neural Networks.

Zhaofei Yu, Tiejun Huang, Jian K. Liu

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

2017

Revealing structure components of the retina by deep learning networks.

Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu

CoRR, 2017

2016

Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.

Arno Onken, Jian K. Liu, P. P. Chamanthi R. Karunasekara, Ioannis Delis, Tim Gollisch, Stefano Panzeri

PLoS Comput. Biol., 2016

2015

Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.

Jian K. Liu, Tim Gollisch

PLoS Comput. Biol., 2015

2011

Learning Rule of Homeostatic Synaptic Scaling: Presynaptic Dependent or Not.

Jian K. Liu

Neural Comput., 2011